scholarly journals Neuro-Behavioral Phenotype in 16p11.2 Duplication: A Case Series

Children ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. 190
Author(s):  
Annio Posar ◽  
Paola Visconti
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorders ◽  
Case Series ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Behavioral Phenotype ◽  
Spectrum Disorder ◽  
Learning Disorder ◽  
Additional Risk ◽  
Wide Variability

Duplications of chromosome 16p11.2, even though rare in the general population, are one of the most frequent known genetic causes of autism spectrum disorder and of other neurodevelopmental disorders. However, data about the neuro-behavioral phenotype of these patients are few. We described a sample of children with duplication of chromosome 16p11.2 focusing on the neuro-behavioral phenotype. The five patients reported presented with very heterogeneous conditions as for characteristics and severity, ranging from a learning disorder in a child with normal intelligence quotient to an autism spectrum disorder associated with an intellectual disability. Our case report underlines the wide heterogeneity of the neuropsychiatric phenotypes associated with a duplication of chromosome 16p11.2. Similarly to other copy number variations that are considered pathogenic, the wide variability of phenotype of chromosome 16p11.2 duplication is probably related to additional risk factors, both genetic and not genetic, often difficult to identify and most likely different from case to case.

scholarly journals Role of Copy Number Variations in ADHD

2020 ◽  
Author(s):  
Danijela Krgović
Keyword(s):  
Autism Spectrum Disorder ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Spectrum Disorder ◽  
Genetic Diagnostics ◽  
Healthy Controls

Copy number variations (CNV) have an important role in etiology of neurodevelopmental disorders (NDD). Among them, individuals with attention-deficit and hyperactivity disorders (ADHD) have 1.33 times higher overall rate of CNVs larger than 100 kb compared to healthy controls. These CNVs are often shared with other NDDs and neuropsychiatric disorders such as schizophrenia (SCZ) and autism spectrum disorder (ASD), although duplications of 15q13.3 and 16p13.11 have been found enriched in ADHD cohorts. CNVs provide new opportunities for studying and management of psychiatric disorders including ADHD. Therefore this chapter provides a brief overview of the literature on this topic and presents the benefits of CNV genetic diagnostics in ADHD patients.

Stress in mothers of children with neurodevelopmental disorders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ghorban Hemati Alamdarloo ◽  
Farzad Majidi
Keyword(s):  
Autism Spectrum Disorder ◽  
Intellectual Disability ◽  
Neurodevelopmental Disorders ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Learning Disorder ◽  
Content Type ◽  
Specific Learning Disorder ◽  
Specific Learning

Purpose Most parents experience stress when their children are diagnosed with some kind of disability. This paper aims to compare the level of stress among mothers of children with neurodevelopmental disorders. Design/methodology/approach Research sample consisted of 150 mothers of children with neurodevelopmental disorders (50 mothers of children with autism spectrum disorder, 50 mothers of children with intellectual disability and 50 mothers of children with specific learning disorder selected by convenience sampling). The Stress Response Inventory was used for measuring stress. One-way analysis of variance, multivariate analysis of variance and Scheffe post hoc tests were used for data analysis. Findings The results showed that the stress of mothers of children with autism spectrum disorder was significantly higher than to the other groups of mothers. It was also observed that the stress of mothers of children with intellectual disability was significantly higher than the mothers of children with the specific learning disorder. Originality/value Therefore, designing and implementing preventive and interventional programs to decrease the stress of mothers of children with neurodevelopmental disorders, especially mothers of children with autism spectrum disorder is necessary.

scholarly journals Juvenile Shank3b deficient mice present with behavioral phenotype relevant to autism spectrum disorder

2019 ◽  
Vol 356 ◽  
pp. 137-147 ◽  
Author(s):  
Chantell Balaan ◽  
Michael J. Corley ◽  
Tiffany Eulalio ◽  
Ka’ahukane Leite-ahyo ◽  
Alina P.S. Pang ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Behavioral Phenotype ◽  
Spectrum Disorder ◽  
Deficient Mice

scholarly journals Rare Copy Number Variations in a Chinese Cohort of Autism Spectrum Disorder

2018 ◽  
Vol 9 ◽  
Author(s):  
Yanjie Fan ◽  
Xiujuan Du ◽  
Xin Liu ◽  
Lili Wang ◽  
Fei Li ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Copy Number ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Spectrum Disorder ◽  
Chinese Cohort

scholarly journals Graph Ricci Curvatures Reveal Disease-related Changes in Autism Spectrum Disorder

2021 ◽  
Author(s):  
Pavithra Elumalai ◽  
Yasharth Yadav ◽  
Nitin Williams ◽  
Emil Saucan ◽  
Jürgen Jost ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Resting State ◽  
Neurodevelopmental Disorders ◽  
Data Exchange ◽  
Meta Analysis ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
The Brain

Autism Spectrum Disorder (ASD) is a set of neurodevelopmental disorders that pose a significant global health burden. Measures from graph theory have been used to characterise ASD-related changes in resting-state fMRI functional connectivity networks (FCNs), but recently developed geometry-inspired measures have not been applied so far. In this study, we applied geometry-inspired graph Ricci curvatures to investigate ASD-related changes in resting-state fMRI FCNs. To do this, we applied Forman-Ricci and Ollivier-Ricci curvatures to compare networks of ASD and healthy controls (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We performed these comparisons at the brain-wide level as well as at the level of individual brain regions, and further, determined the behavioral relevance of region-specific differences with Neurosynth meta-analysis decoding. We found brain-wide ASD-related differences for both Forman-Ricci and Ollivier-Ricci curvatures. For Forman-Ricci curvature, these differences were distributed across 83 of the 200 brain regions studied, and concentrated within the Default Mode, Somatomotor and Ventral Attention Network. Meta-analysis decoding identified the brain regions showing curvature differences as involved in social cognition, memory, language and movement. Notably, comparison with results from previous non-invasive stimulation (TMS/tDCS) experiments revealed that the set of brain regions showing curvature differences overlapped with the set of brain regions whose stimulation resulted in positive cognitive or behavioural outcomes in ASD patients. These results underscore the utility of geometry-inspired graph Ricci curvatures in characterising disease-related changes in ASD, and possibly, other neurodevelopmental disorders.

Automatic Detection and Assessment of Autism Spectrum Disorder

2021 ◽  
pp. 396-425
Author(s):  
Thanga Aarthy M. ◽  
Menaka R. ◽  
Karthik R.
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Detection ◽  
Early Diagnosis ◽  
Neurodevelopmental Disorders ◽  
Pathological Condition ◽  
Neurodevelopmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Attention Deficit Hyperactive Disorder ◽  
Clinical Methods

Children with neurodevelopmental disorders are increasing gradually every year. One in 100 children are diagnosed with brain function disorder. There are wide categories of disorder such as attention deficit hyperactive disorder, learning, autism spectrum disorder (ASD), etc. In this work, the focus is on ASD, its clinical methods, and analysis in various research works. ASD is a neurodevelopmental disorder which affects the intellectual functioning, social interaction (adaptive behavior), and has a specific obsessive interest. At present, there is no known cure for ASD, but the level of the pathological condition can be reduced when it is detected early. Early detection is tough and challenging till date. Many researches were carried out to ease the early detection for clinicians. Each method has its own merits and demerits. This chapter reviews and condenses various research works and their efficacy in analysis for the early diagnosis and improvement in children with autism.

scholarly journals Salivary Cytokine Profile as a Possible Predictor of Autism Spectrum Disorder

2020 ◽  
Vol 9 (10) ◽  
pp. 3101 ◽  
Author(s):  
Joanna Samborska-Mazur ◽  
Anna Kostiukow ◽  
Izabela Miechowicz ◽  
Dorota Sikorska ◽  
Rafał Rutkowski ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorders ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typically Developing ◽  
Monocyte Chemoattractant Protein 1 ◽  
Children With Asd ◽  
Cytokine Levels ◽  
Factor Α ◽  
Gait Disturbances

Autism spectrum disorder (ASD) is characterized by neurodevelopmental disorders and alterations in immune function and cytokine levels. The aim of this study is to determine the salivary levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor α (TNFα), monocyte chemoattractant protein-1 (MCP-1), Regulated on Activation, Normal T-cell Expressed and Secreted (RANTES), and Eotaxin in children with ASD and in healthy controlsto assess their predictive potential. We explored correlations between the cytokine levels and the neurodevelopmental disorders related to ASD. The study comprised 19 children with ASD and 19 typically developing (TD) ones. We analyzed salivary levels of IL-1β, IL-6, IL-8, TNFα, MCP-1, RANTES, and eotaxin on Luminex with custom-designed 7-plex kits. The level of RANTES in ASD children was significantly lower than those of TD. In TDs, the salivary levels of IL-1β, MCP-1, and TNFα correlated positively with age. In ASD, the cytokine levels did not correlate with age. There were statistically significant differences between the RANTES level and aggression and gait disturbances, between IL-8 level and fixations/stimulations, and between IL-1β level and no active speech. The levels of the cytokine detected can manifest both systemic and local changes related to ASD. The cytokine pattern cannot be used as a sole ASD predictor, but the salivary levels may be helpful in categorizing the ASD subtype.

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